Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions.
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| Title: | Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions. |
|---|---|
| Authors: | Chen, Lianghua1 (AUTHOR), Zhou, Jianping1 (AUTHOR) zhoujianping@shiep.edu.cn, Zhai, Jiayu1 (AUTHOR), Yang, Lisheng1 (AUTHOR), Qian, Xudong1 (AUTHOR), Tao, Zhiyong1 (AUTHOR) |
| Source: | Energies (19961073). Jun2025, Vol. 18 Issue 11, p2946. 14p. |
| Subjects: | Passivity-based control, Pulse width modulation, Prediction models, Computational complexity, Mathematical optimization, Pulse width modulation transformers |
| Abstract: | In the MMC-based unified power quality conditioner (MMC-UPQC), the computational burden of finite-control-set model predictive control (FCS-MPC) increases rapidly with the number of MMC submodules. Meanwhile, conventional linear and nonlinear control methods suffer from limited compensation accuracy. To address this, a control strategy combining continuous-control-set model predictive control (CCS-MPC) and phase-shifted carrier pulse-width modulation (PSC-PWM) is proposed. CCS-MPC performs repeated time-domain optimization based on the system model. It offers advantages such as fast dynamic response and ease of implementation, thereby enhancing both dynamic and steady-state performance, as well as compensation effectiveness. Unlike FCS-MPC, the computational complexity of CCS-MPC combined with PSC-PWM does not depend on the number of submodules, which significantly reduces the overall computational burden. Simulation results verify that the proposed method exhibits superior performance under three scenarios: grid-side voltage unbalance, high-order harmonic injection, and nonlinear load connection. Compared with the linear PI control strategy and the nonlinear passivity-based control strategy, the proposed method significantly enhances power quality and system robustness. [ABSTRACT FROM AUTHOR] |
| Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185868119 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Lianghua%22">Chen, Lianghua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Jianping%22">Zhou, Jianping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhoujianping@shiep.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhai%2C+Jiayu%22">Zhai, Jiayu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Lisheng%22">Yang, Lisheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qian%2C+Xudong%22">Qian, Xudong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tao%2C+Zhiyong%22">Tao, Zhiyong</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2025, Vol. 18 Issue 11, p2946. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Passivity-based+control%22">Passivity-based control</searchLink><br /><searchLink fieldCode="DE" term="%22Pulse+width+modulation%22">Pulse width modulation</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Pulse+width+modulation+transformers%22">Pulse width modulation transformers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the MMC-based unified power quality conditioner (MMC-UPQC), the computational burden of finite-control-set model predictive control (FCS-MPC) increases rapidly with the number of MMC submodules. Meanwhile, conventional linear and nonlinear control methods suffer from limited compensation accuracy. To address this, a control strategy combining continuous-control-set model predictive control (CCS-MPC) and phase-shifted carrier pulse-width modulation (PSC-PWM) is proposed. CCS-MPC performs repeated time-domain optimization based on the system model. It offers advantages such as fast dynamic response and ease of implementation, thereby enhancing both dynamic and steady-state performance, as well as compensation effectiveness. Unlike FCS-MPC, the computational complexity of CCS-MPC combined with PSC-PWM does not depend on the number of submodules, which significantly reduces the overall computational burden. Simulation results verify that the proposed method exhibits superior performance under three scenarios: grid-side voltage unbalance, high-order harmonic injection, and nonlinear load connection. Compared with the linear PI control strategy and the nonlinear passivity-based control strategy, the proposed method significantly enhances power quality and system robustness. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en18112946 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 2946 Subjects: – SubjectFull: Passivity-based control Type: general – SubjectFull: Pulse width modulation Type: general – SubjectFull: Prediction models Type: general – SubjectFull: Computational complexity Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Pulse width modulation transformers Type: general Titles: – TitleFull: Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Lianghua – PersonEntity: Name: NameFull: Zhou, Jianping – PersonEntity: Name: NameFull: Zhai, Jiayu – PersonEntity: Name: NameFull: Yang, Lisheng – PersonEntity: Name: NameFull: Qian, Xudong – PersonEntity: Name: NameFull: Tao, Zhiyong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 18 – Type: issue Value: 11 Titles: – TitleFull: Energies (19961073) Type: main |
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